Astera

JULY 18, 2023

Data wrangling tools are powerful solutions designed to simplify and automate the process of data preparation. They enable data professionals to clean, transform, and organize raw data efficiently, saving countless hours of manual work while ensuring data quality and consistency.

Data Quality 52

Data Quality Visualization Data Visualization Documentation 52

Astera

JULY 20, 2023

By aligning data elements and formats, EDI mapping brings clarity, efficiency, and simplicity to business networks, streamlining operations and fostering seamless communication. Understanding EDI Mapping EDI mapping refers to the process of matching the data structure and format of two systems that are exchanging EDI documents.

Supply Chain 52

Supply Chain Documentation Digital Data Requirement 52

Astera

APRIL 28, 2023

The sheer volume of data makes extracting insights and identifying trends difficult, resulting in missed opportunities and lost revenue. Additionally, traditional data management systems are not equipped to handle the complexity of modern data sources, such as social media, mobile devices, and digitized documents.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

Sisense

FEBRUARY 10, 2021

Utilities employ skilled professionals as knowledge workers, but creating a simple, visual way to analyze their data is a hard skillset to find in abundance. This presented the first challenge for our product team in building Cascade Insight: What is the data that is most important to capture?

Skillset 52

Skillset Data Requirement Data Quality Documentation 52

Astera

MAY 6, 2024

Type of Data Mining Tool Pros Cons Best for Simple Tools (e.g., – Data visualization and simple pattern recognition. Simplifying data visualization and basic analysis. – Steeper learning curve; requires coding skills. Can handle large volumes of data. – Quick and easy to learn.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

MARCH 19, 2024

It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle. At its core, data governance aims to answer questions such as: Who owns the data? What data is being collected and stored?

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

MARCH 11, 2024

Transformation Capabilities: Some tools offer powerful transformation capabilities, including visual data mapping and transformation logic, which can be more intuitive than coding SQL transformations manually. Customer support is available through online ticketing and phone assistance, ensuring prompt assistance whenever you need it.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52